Video Upscaling - SeedVR2 3B

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AI-Powered Video Upscaling & Quality Restoration

Restore, sharpen, and enhance degraded or low-quality videos to high resolution. SeedVR2 is ByteDance's one-step video restoration model that delivers results comparable to much slower tools, in a fraction of the processing time.

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What it does

SeedVR2-3B is a video restoration and enhancement model developed by ByteDance Seed. It takes damaged, blurry, compressed, or low-resolution video footage and restores it to sharp, high-quality output. What sets SeedVR2 apart from previous AI video restoration tools is its speed: where most comparable tools require many processing passes to produce a good result, SeedVR2 achieves the same or better quality in a single pass. This makes it significantly faster and more cost-effective to run at scale, without meaningful sacrifice in output quality.

Problem it solves

Old or degraded footage – Restores heavily compressed, blurry, noisy, or low-resolution videos to sharp, high-quality output
Slow restoration pipelines – Most AI video restoration tools are slow and computationally expensive. SeedVR2 dramatically reduces processing time by completing restoration in a single step instead of many
High-resolution output – Handles high-resolution video restoration without the visual inconsistencies that commonly appear in other tools when scaling up
Real-world content – Designed to work on real-world footage, not just clean lab test videos

Input/Output

Input:
- A degraded, low-quality, blurry, compressed, or low-resolution video
Output: A restored, high-resolution MP4 video file
- Visually sharp with reconstructed details and textures where they were lost
- Smooth, coherent motion throughout

Accuracy & Speed

Speed & Scale


Processing speed	Single-pass restoration (significantly faster than multi-step alternatives)
Infrastructure needed	Standard single GPU setup
Output quality	Comparable to or better than existing multi-step restoration tools

Technical Details


Architecture	3B diffusion-based video restoration model
Approach	One-step adversarial post-training (single inference pass)
Resolution handling	Adaptive window attention — dynamically adjusts to output resolution for consistent quality
Supported Frameworks	Hugging Face Diffusers
Developer	ByteDance Seed

Model Variants

SeedVR2 is available in two sizes to suit different needs:

Version	Best For
SeedVR2-3B	Faster processing, lower resource requirements
SeedVR2-7B	Higher quality output for more demanding use cases